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data_europa_search

Read-onlyIdempotent

Search the data.europa.eu EU open-data catalogue (free, no key). Returns dataset identifiers, titles, descriptions and countries. Use for EU-wide open datasets; use ckan_search for UK/Australia.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax datasets, default 10, max 100
queryYesSearch terms, e.g. climate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesSource payload; fields vary per tool
sourceYesHuman-readable upstream source name
retrievedAtYesISO-8601 timestamp of retrieval

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so safety is covered. The description adds value the annotations cannot: 'free, no key' tells the agent no credentials are needed, which is genuine invocation-relevant context. It stops short of rate-limit or pagination behavior, so not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences: purpose first, then output fields, then the routing rule. Zero filler and the disambiguation is placed where the agent will see it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be detailed, yet the description still previews them. Purpose, auth requirement, and sibling disambiguation together cover everything needed to call this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters (query, limit) are already documented in-schema with defaults and max. The description adds no additional parameter semantics, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Search the data.europa.eu EU open-data catalogue') and adds scope detail (EU-wide open datasets) that separates it from the other catalogue siblings. The listed return fields (identifiers, titles, descriptions, countries) further pin down what the tool is for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly names the selection condition ('Use for EU-wide open datasets') and routes the agent to the alternative ('use ckan_search for UK/Australia'), which matches a real sibling in the tool list. An agent can choose without opening either schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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